Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Speeds up Pandas by distributing computations.
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| Python | - Modin: Speed up your Pandas workflows by changing a single line of code
Section: Useful Python Tools for Data Analysis · Speeds up Pandas by distributing computations.
Section: Optimization Tools · Speed up your Pandas workflows by changing a single line of code.
Section: Computation and Communication Optimisation · Speed up your Pandas workflows by changing a single line of code.
Section: Data Frames · Speed up your pandas workflows by changing a single line of code.
Section: Modin (26 · 10K · ) - Modin: Scale your Pandas workflows by changing a single line.. Apache-2 · (👨💻 140 · 🔀 660 · 📦 2.4K):
Section: Workflows · Modin - Scale your Pandas workflows by changing a single line of code
Section: Data Science and Analytics · Modin: Scale your Pandas workflows by changing a single line of code
Section: Alternative libraries · | Python | - Modin: Speed up your Pandas workflows by changing a single line of code
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]
| Python | - Parallel computing with task scheduling in Python with a Pandas like API
| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.